Research Article

Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis

by  H. Saleh, A. Yahya, M. Sayed, M. Ashour
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Issue 5
Published: January 2012
Authors: H. Saleh, A. Yahya, M. Sayed, M. Ashour
10.5120/4682-6804
PDF

H. Saleh, A. Yahya, M. Sayed, M. Ashour . Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis. International Journal of Computer Applications. 38, 5 (January 2012), 6-11. DOI=10.5120/4682-6804

                        @article{ 10.5120/4682-6804,
                        author  = { H. Saleh,A. Yahya,M. Sayed,M. Ashour },
                        title   = { Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis },
                        journal = { International Journal of Computer Applications },
                        year    = { 2012 },
                        volume  = { 38 },
                        number  = { 5 },
                        pages   = { 6-11 },
                        doi     = { 10.5120/4682-6804 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2012
                        %A H. Saleh
                        %A A. Yahya
                        %A M. Sayed
                        %A M. Ashour
                        %T Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis%T 
                        %J International Journal of Computer Applications
                        %V 38
                        %N 5
                        %P 6-11
                        %R 10.5120/4682-6804
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Two Pulse Shape Discrimination (PSD) techniques are proposed based on Cross Correlation (CC) and Principal Component Analysis (PCA). In CC-based PSD, two schemes are proposed to discriminate between different decay scintillation pulses. The first CC-based scheme is applied to digitized scintillation pulses in time-domain with different numbers of samples ranging from the last two samples up to the full length. The second CC-based scheme is applied to frequency components of the scintillation pulses, where pulses are transformed using one of the following transforms; Discrete Sine Transform (DST), Discrete Cosine Transforms (DCT), Discrete Wavelet Transforms (DWT), and Fast Fourier Transform (FFT). On the other hand, in PCA-based PSD technique, two schemes are applied to the digitized pulses in time domain and the transformed pulses coefficients in the frequency domain, respectively, as in the previous sequence.

References
  • L. Bardelli, M. Bini, G. Poggi, and N. Taccetti “Application of digital sampling techniques to particle identification in scintillation detectors” Nuclear Instruments and Methods in Physics Research” 491(A): 244–257,2002.
  • B. Nayak, E. Mirgule And R. Choudhury, “Application of pulse shape discrimination in Si detector for fission fragment angular distribution measurements” Journal of physics Indian Academy of Sciences, pages., 65(6):1053-1059,2005.
  • H. Semmaou et al “Crystal Identification Based on Recursive-Least-Squares and Least-Mean-Squares Auto-Regressive Models for Small Animal Pet “,IEEE Transactions on Nuclear Science, pages:, 55 (5): 2450 – 2454, 2008.
  • G. Ranucci, R. Dossi,P. Inzani,G. Korga, P. Lombardi, P. Meroni, and M. Monzani, “A sampling board optimized for pulse shape discrimination in liquid scintillator applications” IEEE Transactions on Nuclear Science, 51 (4): Issue: 1784-1790, 2004.
  • k. Ueshima, Scintillation-only Based Pulse Shape Discrimination for Nuclear and Electron Recoils In Liquid Xenon, Nuclear Instruments and Methods in Physics Research Section A, 659(1):161-168, 2011.
  • M. Flaska, S. Pozzi “Identification of shielded neutron sources with the liquid scintillator BC-501A using a digital pulseshape discrimination method”, 577(3), 654-663, 2007
  • L. MacDonald and M. Dahlbom, “Parallax correction in PET using depth of interaction information,” Nuclear Science Symposium, ISSN: 1082-3654 (2): 1605 - 1609, 1997.
  • C. Lee and G. Cho, “DOI resolution measurement and error analysis with LYSO and APDs”, Nuclear Instruments and Methods in Physics Research Section, 591(1): 84-87, 2008.
  • E. Delfino,S. Majewski,R. Raylman and A. Stolin, “Towards 1mm PET resolution using DOI modules based on dual-sided SiPM readout”, Towards 1mm PET resolution using DOI modules based on dual-sided SiPM readout “Nuclear Science Symposium Conference Record (NSS/MIC), IEEE, ISSN : 1082-3654,: 3442 – 3449, 2010.
  • A. Braem et al, “Novel design of a parallax free Compton enhanced PET scanner ” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 525(1-2): 268-274, 2004.
  • R. Aryaeinejad, j. Hartwell, and D. Spencer, “Comparison between digital and analog pulse shape discrimination techniques for neutron and gamma ray separation”, Nuclear Science Symposium Conference Record IEEE, ISSN :1082-3654(1): 500 – 504, 2005.
  • J. Adams et al, “The JET neutron emission profile monitor,” Nuclear Instruments and Methods in Physics Research Section. A 329(1): 277-290, 1993.
  • L. Szentmiklósi, T. Belgya, Zs. Révay, and G. L. Molnár, "Digital Signal Processing in Prompt-Gamma Activation Analysis", Journal of Radioanalytical and Nuclear Chemistry, 264(1): 229-234, 2005.
  • S. Jastaniah and P. Sellin, “Digital techniques for n/? pulse shape discrimination and capture-gated neutron spectroscopy using liquid scintillators”. Nuclear Instruments and Methods in Physics Research A 517(1): 202–210, 2004 .
  • Y. Kaschucka and B. Espositob, “Neutron/ ? -ray digital pulse shape discrimination with organic scintillators”. Nuclear Instruments and Methods in Physics Research A 551(2):420-428,2005.
  • S. Yousefi “Digital Pulse Shape Discrimination in Triple-Layer Phoswich Detectors Using Fuzzy Logic”, IEEE Transactions on Nuclear Science, 55(5): 2739- 2748, 2008.
  • H. Saleh, A. yahya, M. Ashour and M. Sayed “DST and DCT-based depth of interaction (DOI) determining techniques for LSO and LuYAP scintillation detectors in PET”. International Journal of Computer Applications, 28(7): 41-45, 2011.
  • A. Arafa, H. Saleh, M. Ashour, A. Salem, “FFT- and dwt-based FPGA realization of pulse shape discrimination in pet system”. Fourth IEEE International Conference on Design &Technology of Integrated Systemsin Nanoscale Era, DTIS09, 6-7 APRIL 2009.
  • Mahmood and S. Khan “Exploiting Transitivity of Correlation for Fast Template Matching”, IEEE Transactions on Image Processing, pp:, 19(8): 2190 – 2200,2010.
  • A. Amar and S. Mian “Correlation based speech-video synchronization”, Pattern Recognition Letters,32 :780–786, 2011.
  • T. Matsukawa and T. Kurita, “Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes” , 2010 20th International Conference on Pattern Recognition (ICPR), 1731 – 1734, 2010.
  • C. Ren and D. Dai, “Incremental learning of bidirectional principal components for face recognition ”. Pattern Recognition, 43(1): 318-330, 2010.
  • D. Zhang, Z. Zhou and S. Chen “Diagonal principal component analysis for face recognition”. Pattern Recognition, 39(1): 140-142, 2006.
  • H. Saleh¬, A. yahya, M. Ashour1and M. Sayed, “Depth of Interaction Determination Technique Based on Principal Component Analysis”,10th International Conference of Nuclear Science and Applications, accepted for applications (4-8 Feb 2012).
  • H. Semmaoui, R. Lecomte and R. Fontaine “A Cross-Correlation Method for Crystal Identification in APD-Based Phoswich Detectors Used In Small Animal PET Scanner”. Nuclear Instruments and Methods in Physics Research 597(2): 238–241, 2008.
  • M. Streun, G. Brandenburg, H. Larue, C. Parl, and K. Ziemons “The Data Acquisition System of Clear PET Neuron A Small Animal PET Scanner” IEEE Transactions on Nuclear Science, 53(3):700–703, 2006.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Cross Correlation DCT PCA Pulse Shape Discrimination DOI DST FFT Wavelet

Powered by PhDFocusTM